Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Solve multi-part SQL with sliding windows
Assume 'today' is 2025-09-01. You are given the following tables. users(user_id INT PRIMARY KEY, signup_date DATE) orders(order_id INT PRIMARY KEY, us...
Solve date, shopping, and circle problems
Take‑Home: Three Independent Tasks (Data/Algorithms) Implement three independent functions that will be unit‑tested separately. Provide clear error ha...
Compare average profit across mix scenarios
Burger Profit Mix — Scenario A vs. Scenario B Context: You sell two burger types (Regular and Vegan). In Scenario A, you sell only Regular. In Scenari...
Contrast LSTM and Transformer for long sequences
This question evaluates understanding of sequence-model architectures and system-level trade-offs for long-context autoregressive language models, cov...
Explain why DoorDash and job change
Behavioral & Leadership (Onsite) — Data Scientist Context You are interviewing for a Data Scientist role focused on marketplace and operations. Use co...
Resolve conflict on trust versus growth priorities
Scenario You are an Engineering Analyst on a Trust/Integrity team. A senior Growth PM, with VP support, pushes to loosen an upload filter to boost Dai...
Design and critique an abuse-detection ML system
This question evaluates system-design and production machine learning competencies including large-scale classification versus risk scoring, handling ...
Lead a product deep dive with quantified impact
Behavioral Product Leadership Prompt (Data Scientist) You are interviewing for a Data Scientist role with a strong focus on product analytics, experim...
Design a restaurant recommender under cold start
Design a Multi-Objective Restaurant Ranking System You own the restaurant recommendation surface for a city app. The goal is to rank nearby restaurant...
Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment
Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...
Design a data platform enablement
Design a pragmatic data‑platform enablement for a mid‑tier retail bank migrating to cloud under PII and data‑residency constraints. Describe the targe...
Define scalable train/validation for churn
This question evaluates a data scientist's competency in designing scalable, leakage-safe training, validation, evaluation, and serving pipelines for ...
Choose tests for rare-event A/B analysis
This question evaluates expertise in statistical experiment design for rare binary outcomes, covering hypothesis test selection for low-event-rate pro...
Design and analyze notification pinning experiment
This question evaluates experimental design, causal inference, metric definition and instrumentation, sample size estimation, and analysis skills in t...
Handle unreliable email during time-critical coordination
Scheduling Under Email Deliverability Risk: 72-Hour Action Plan and Escalation Scenario You must schedule a critical Data Scientist technical screen w...
Diagnose and fix selection bias in experiments
Selection Bias With Opt-in Discount Banner Context You observe that users can opt in to see a discount banner (treatment = 1 if they opted in and saw ...
Measure Super Bowl ad impact with causal design
Super Bowl National TV Ad: Incrementality Measurement Plan Context: Your consumer app ran a single 30-second national Super Bowl TV spot. Design a pla...
Reflect on a challenging project you led
Behavioral Prompt: Leading an End-to-End Project That Changed a Product Decision Context: You are a Data Scientist interviewing for a consumer tech pr...
Design and power a frequency-cap experiment
Experiment Design: Raising a 7‑Day Frequency Cap from 3→4 Impressions Context A large video ad campaign plans to raise the per‑user rolling 7‑day freq...
Evaluate emoji reactions launch
A messaging app plans to introduce an emoji reaction feature: users can long-press a message for 5 seconds and attach an emoji instead of sending a te...